MEEIC 101 Advanced Engineering Mathematics

Module 1 (Vector Space)

Vector space, subspace, Linear independence of Vectors, Dimension and Basis( Definitions,

theorems without proof and problems), Linear transformations, rank and nullity, Inner product, norm of a

vector, orthogonal vectors. Gram Shchmidst orthogonalization process.

Module 2 (Differential Equation)

Bessel function, recurrence relation, properties, generating functions, Orthogonality property,

Legendre function, Rodrigues formula, Legendre polynomials, Recurrence relations(with out proof),

Orthogonality and generating function.

Module3 (Integral Equation and P.D.E)

Solution of integral of second kind by transform methods, convolution type, method of successive

approximation and iterative method.

Solution of P.D.E using Laplace Transform method.

Module4 (Probability Distribution)

Concept of random variables( discrete and Continuous), Joint probability Distribution of discrete

and continuous random variables(definition and problems), Marginal and conditional probability

functions , estimation of parameters(point and interval)-unbiasedness, consistency, efficiency and

sufficiency.

References

1. Serge Lang, 'Linear Algebra'

2. Peter V.O.Niel, 'Advanced Engineering Mathematics', 4th edition,Brooks Cole Publications.

3. Greenberg,'Advanced Engineering Mathematics, Pearson Edn.

4. G.F Simmons,'Differetial Equation with historical notes'

5. N.P Bali and Iyengar,'Engineering Mathematics,Laxmi Publications

6. Vasista and Gupta, 'Integral Transforms'.

7. Shanti Swaroop, 'Integral Equations

8. Gupta and Kappor, 'Foundations of Mathematical Statistics

9. Murray R. Spiegal, 'Linear Algebra ,Schaum Outline Serie

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MEEIC 102 Transducers and Measurements

Module I

General concepts of measurement systems-classification of types of measurement applications-

Generalized configuration and functional description of measuring instruments- functional

elements of an instrument,active and passive transducers- Analog and digital modes of

operation- Null and deflection methods- Generalized input-output configuration of instruments

and measurement systems

Module II

Sensors and transducers-Introduction-Classification-Selection and specification-Static and

dynamic characteristics of transducers.Resistive transducer- Potentiometer, Strain gauge,

Resistive thermometer, Thermistor. Variable inductance transducer- LVDT, Synchro. Capacitive

transducers

Module III

Special transducers-Piezoelectric transducer, Magnetostrictive transducer, Thermoelectric sensor

(Thermocouple), Electromagnetic transducer, Ultrasonic transducer, Hall effect transducer,

Photoelectric transducer, smart/intelligent transducer.

Module IV

High pressure measurement-Electrical pressure transducer, Bourdon tubes-Low pressure

measurement-Thermocouple vacuum gauge, Pirani gauge, Ionization type vacuum gaugeLevel

measurement-Electrical methods-Resistive, capacitive, inductive methods-Mechanical methods-

float type, displacer type, pressure gauge method-Radiation typeTemperature measurement-

Expansion thermometer, filled system thermometer, radiation methodpH measurement- working

principle-construction of electrodes- glass electrode pH measurement

References

10. Doeblin E. O., Measurement Systems, McGraw-Hill,1990.

11. A course in Electrical and Electronic Measurements and Instrumentation- A.K. Sawhney,

Dhanpat Rai & Co.

12. Patranabis D., Sensors and Transducers, Wheeler Publishing Company, New Delhi, 2002

13. Moorthy D. V. S., Transducers and Instrumentation, PHI, New Delhi, 2004

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MEEIC 103 Linear Control Theory

Module I

Introduction-Mathematical modeling of physical systems-Electrical and mechanical systems-

Design of feedback control systems-Compensators-Performance measures-Cascade

compensation networks-phase lead and lag compensator design using both bode plot and root

locus

Module II

Systems using integration networks-PI,PID controllers-Systems with prefilter- PID tuning

Analysis of stabilization by pole cancellation-Canonical realization-Parallel and cascade

realization-Reachability and constructability-Stabilizability-Controllability-Observability

grammians

Module III

Linear state variable feedback for SISO systems-Analysis of stabilization by output feedback- -

formulae for feedback gain-significance of controllable canonical form-Ackerman‟s formula-

feedback gains in terms of eigen values-Mayne Murdoch formulae-Transfer function approach-

state feedback and zeroes of the transfer function

Module IV

Asymptotic observers and compensators-Asymptotic observers for state measurement-open loop

observers-closed loop observers-formulae for observer gain-calculation of transfer function-

implementation of observers-full order and reduced order observer-Separation principle-

Combined observer controller

References

1. Katsuhiko Ogata , Modern Control Engineeringm, 5th

Edition, PHI publishers

2. Thomas Kailath. "Linear System1, Prentice Hall, Inc. Eaglewood Cliffs. NJ. 1998

3. Benjamin C Kuo, 'Control Systems', Tata McGraw Hill, 2002

4. M Gopal, 'Control Systems-Principles and Design', Tata McGraw Hill

5. Richard C Dorf & Robert H Bishop, "Modern Control Systems', Addison -Wesley,

8th Edition, 1998

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MEEIC 104 Discrete Time Control Systems

Module I

Z transforms- sample and hold-pulse transfer function-mapping between s-plane and z-plane-

stability analysis-Jury‟s test and Schur Cohn test- Bilinear transformation-Routh Hurwitz

methods in w-plane-Bode plot in w-plane-

Module II

Discrete equivalents via numerical integration-pole zero matching-Design of discrete control

systems-root locus method, frequency response method-direct design methos of Ragazzini

Module III

State space representation of discrete control systems-controllability-observability-design via

pole placement

Module IV

Observers-full order observer-reduced order observer-regulator design-separation principle-

control system with reference input

References

K. Ogata, „Discrete-Time Control Systems‟, Pearson Education, Asia, 2013.

Gene F. Franklin, J. David Powell, Michael Workman, Digital Control of Dynamic Systems,

Pearson, Asia, 2000.

J. R. Liegh, Applied Digital Control, Rinchart & Winston Inc., New Delhi, 2010.

Frank L. Lewis, Applied Optimal Control & Estimation, Prentice-Hall, Englewood Cliffs

NJ,1992.

Benjamin C. Kuo, Digital Control Systems, 2nd Edition, Saunders College publishing

,Philadelphia, 1992.

C. L. Philips, H. T. Nagle, Digital Control Systems, Prentice-Hall, Englewood Cliffs, New

Jersey, 1995.

R. G. Jacquot, Modern Digital Control Systems, Marcel Decker, New York, 1995.

M. Gopal, Digital Control and State Variable Methods, Tata McGraw-Hill, 1997.

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MEEIC 105-1 Optimization techniques

Module I

Classification of optimization problems and applications-Basic concepts of design vectors-design

constraints-constraint surface and objective function surfaces-Formulation and solution of linear

programming problem-Karmarkar's method-Simplex Method-Two phase simplex method-

Duality theory, Duel Simplex method

Module II

Sensitivity analysis to linear programming problem changes in constants of constraints-changes

in cost coefficients-changes in the coefficients of constraints-addition of new variables and

addition of new constraints

Module III

Introduction to Integer Programming methods -Branch and bound method-Gomory's cutting

plane method for integer and mixed integer programming-lnteger polynomial programming-

sequential linear discrete programming and nonlinear programming-Nonlinear programming-

Properties of single and multivariable functions- Optimality criteria-Direct Search Methods-

Gradient based methods-Newton's method- Conjugate Gradient Methods-Quasi - Newton

Methods

Module IV

Constrained optimality criteria-Lagrange Multipliers-KKT Conditions-interpretation of KKT

Conditions, Second order optimality Conditions-Linearization methods for constrained problems

method of feasible directions-GRG methods-Quadratic approximation methods for constrained

problems-Variable metric methods for constrained optimization-Quadratic Programming-

Dynamic programming

References

1. G V Reklaitiss A Ravindran & K M Rajsdell, "Engineering optimization, Methods and

Applications'John Wiley & Sons

2. Singiresu S Rao9 John, "Engineering Optimization Theory and Practices', 3rd Edition, Wiley

and Sons, 1998

3. A Ravindran, Don T Philips and Jamer J Solberg, 'Operations Research - Principles and

Practice\iohn Wiley & Sons

4. P G Gill, W Murray and M H Wright, 'Practical Optimization', Academic Press, 1981

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5. Fredrick S Hiller and G J Liberman, 'Introduction to Operations Research', McGraw-Hill

Incl995

6. Ashok D Belegundu, Tirupathi R Chandrapatla, 'Optimization Concepts and Applications in

Engineering', Pearson Education, Delhi, 2002

MEEIC 105-2 Analog and Digital Instrumentation

Module I

Basic blocks- Overview of A/D converter, types and characteristics-Understanding Data

acquisition, A/D and S/H terms-passive support and Active support components-Single and

Multi-slope, Low cost A/D conversion techniques, types-Electromechanical A/D converter.

Module II

Data acquisition systems Objective - Building blocks of Automation systems – Multi, Single

channel Data Acquisition systems, PC based DAS, Data loggers- Sensors based computer data

systems.

Module III

Interfacing and data transmission Data transmission systems- 8086 Microprocessor based system

design - Peripheral Interfaces – Time Division Multiplexing (TDM) – Digital Modulation –

Pulse Modulation – Pulse Code Format – Interface systems and standards – Communications. PC

based instrumentation Introduction - Evolution of signal Standard - HART Communication

protocol -Communication modes - HART networks - control system interface –

Module IV

Field bus –Introduction - General field bus architecture - Basic requirements of field bus

standard-field bus topology - Interoperability – interchangeability - Instrumentation buses-Mod

bus -GPIB - Network buses – Ethernet - TCP/IP protocols Case studies PC based industrial

process measurements like flow, temperature, pressure and level – PC based Instruments

development system.

References

1. Kevin M. Daugherty, Analog - Digital conversion: A Practical Approach, Tata McGraw-

Hill International Editions, 1995

2. N. Mathivanan, Microprocessors, PC Hardware and Interfacing, Prentice Hall India, 2003.

3. Krishna Kant, Computer- based Industrial Control, Prentice Hall India Pvt. Ltd., 2004.

4. H. S. Khalsi, Electronic Instrumentation, Technical Education Series Tata McGraw-Hill,

2004.

5. Buchanan, Computer busses, Arnold, London, 2000

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MEEIC 105-3 Fuzzy Logic Neural network and Control

Module I

Neural network- Biological foundations - ANN models - Types of activation function -

Introduction to Networkarchitectures -Multi Layer Feed Forward Network (MLFFN) - Radial

Basis Function Network(RBFN) - Recurring Neural Network (RNN).

Module II

Learning process- Supervised and unsupervised learning - Error-correction learning - Hebbian

learning - Boltzmenlearning - Single layer and multilayer perceptrons - Least mean square

algorithm - Backpropagation algorithm - Applications in pattern recognition and other

engineering problems Casestudies - Identification and control of linear and nonlinear systems

using Matlab-Neural networktoolbox.

Module III

Fuzzy sets-Fuzzy set operations - Properties - Membership functions - Fuzzy to crisp conversion

-fuzzification and defuzzification methods - applications in engineering problems.

Module IV

Fuzzy control systems-Introduction - simple fuzzy logic controllers with examples - Special

forms of fuzzy logic models- classical fuzzy control problems - inverter pendulum - image

processing - home heating system- Adaptive fuzzy systems - hybrid systems - Adaptive Neuro

fuzzy Inference System (ANF1S)controllers Genetic Algorithm Introduction - basic concepts

References

1. J. M. Zurada, „Introduction to Artificial Neural Systems‟, Jaico Publishers, 1992.

2. Simon Haykins, „Neural Networks - A Comprehensive Foundation, Mcmillan College‟,

Proc., Con., Inc., New York. 1994.

3. D. Driankov. H. Hellendorn, M. Reinfrank, „Fuzzy Control - An Introduction, Narora

Publishing House‟, New Delhi, 1993.

4. H. J. Zimmermann, „Fuzzy Set Theory and its Applications‟, 111 Edition, Kluwer Academic

Publishers, London.

5. G. J. Klir, Boyuan, „Fuzzy Sets and Fuzzy Logic‟, Prentice Hall of India (P) Ltd, 1997.

6. Stamatios V Kartalopoulos, „Understanding Neural Networks And Fuzzy Logic Basic

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Concepts And Applications‟, Prentice Hall of India (P) Ltd, New Delhi, 2000.

7. Timothy J. Ross, „Fuzzy Logic With Engineering Applications‟, McGraw Hill, New York.

8. Suran Goonatilake, Sukhdev Khebbal (Eds.), „Intelligent Hybrid Systems‟, John Wiley &

Sons, New York, 1995.

9. Vose Michael D., „Simple Genetic Algorithm - Foundations and Theory‟, Prentice Hall of

India.

10. Rajasekaran & Pai, „Neural Networks, Fuzzy Logic, and Genetic Algorithms: Synthesis and

Applications‟, Prentice-Hall of India, 2007.

11. J. S. Roger Jang, C. T. Sun and E. Mizutani, „Neuro Fuzzy and Soft Computing‟, Prentice

Hall Inc., New Jersey, 1997.

MEEIC 105-4 Data Transfer Technologies

Module I

Data Communication Fundamentals: Layered Network Architecture; Mode of communication,

topology, Data and Signal; Transmission Media: Guided, Unguided; Transmission Impairments

and Channel Capacity; Transmission of Digital Data: Interfaces-DTE-DCE, MODEM, Cable

MODEM; The telephone network system and DSL technology;

Module II

Networks in process automation: Information flow requirements - Hierarchical Communication

model - Data Communication basics – OSI reference model - Industry Network - Recent

networks Communication protocols -Introduction to Communication Protocols: Communication

basics – Network Classification- Device Networks - Control Networks - Enterprise Networking -

Network selection.

Module III

Network architectures-Proprietary and open networks: Network Architectures – Building blocks

– Industry open protocols (RS-232C, RS- 422, and RS-485) - Ethernet – Mod bus –Mod bus Plus

- Data Highway Plus - Advantages and Limitations of Open networks - IEEE1-394.

Field bus: Field bus Trends - Hardware selection - Field bus design - Installation -

Documentation, Field bus advantages and limitations.USB.

Module IV

HART: Introduction - Design - Installation - calibration, Commissioning - Application in

Hazardous and Non-Hazardous area. Planning and commissioning -Foundation Field bus

&Profibus: Introduction - Design -Commissioning - Application in Hazardous and Non-

Hazardous area - Introduction to wireless Protocols: WPAN - Wi-Fi - Bluetooth - ZigBee -Z-

wave.

References

1. B.G. Liptak, Process Software and Digital Networks, CRC Press ISA, 2002.

2. Romilly Bowden, HART Communications Protocol, Fisher-Rosemount, 2003..

3. User Manuals of Foundation Field bus, Profibus, Modbus, Ethernet, Device net,

Control net.

4. Data Communications and Networking, Behrouz A. Forouzan, TMH

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MEEIC 106-1 Modern Power Converters

Module I

Introduction- Characteristics and specifications of switches –Types of power electronic circuits

Switches- Power Semiconductor devices- Control characteristics of power devices- General

Properties of Semiconductor Power Switches-Semiconductor Switches – SCRs --Triacs. Fully

Controlled Switches - Power MOSFETs - IGBTs. Comparison of Semiconductor Power

Switches -Applications of power electronics

Module II

Thyristor circuits and their control- Basic thyristor circuits- Thyristor gate triggering- Practical

thyristor converters .Single Phase Full Converters- With RL & RLE load- continuous and

discontinuous mode of operation(Rashid)- effect of load and source inductance(Ned Mohan)-

Single phase dual converter- Power factor improvement techniques

Three Phase Converters - Principle of 3 phase half wave converter-Principle of 3 phase full

converter with RL Load- 3 phase dual converter

Module III

Introduction- Functions and features of inverters Inverter applications- DC link Inverters-

Adjustable speed AC drives- Uninterruptable Power Supplies( Basics only) - Types of Inverters-

Voltage Source Inverters- Current Source Inverters- Current Regulated Inverters( Basics only)

Single Phase PWM Inverters- Principle of operation-Voltage control of single phase inverters-

Advanced modulation techniques Three Phase Inverters- 120° conduction- 180° conduction-

Voltage control of 3 phase inverters-SPWM- Third harmonic PWM- 60° PWM- Space vector

modulation- Comparison

Module IV

AC Voltage Controllers- Principle of ON-OFF control-Principle of phase control- single phase

bidirectional controllers with resistive load, inductive load-3 phase full wave controllers- AC

voltage controllers with PWM control-Cycloconverters- Single phase cycloconverter- 3 phase

cycloconverter-Reduction of output harmonics-3 phase bidirectional delta connected controllers -

Matrix converter

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References

1. Andrzej M. Trzynadlowski, Introduction to Modern Power Electronics, second edition, John

Wiley & Sons publishers.

2. M.H. Rashid, Power Electronics Circuits, Design and Applications, Pearson Education

3. Ned Mohan, Undeland, Robbins, Power Electronics-3rd edn, John Wiley, 2003

4. Joseph Vithayathil, Principles of Power Electronics, McGrawHill-1994

5. Philip T Krein, Elements of Power Electronics- Oxford, 1998

MEEIC 106-2 Embedded systems and Real time Applications

Module I

8051 Microcontroller - Assembly language programming and C programming- Instruction set –

Interrupts - Timers – Memory- I/O ports – Serial communication - Interfacing –Key board -LED

display - External memory – ADC – DAC – LCD - RTC – Typical applications- DCmotor speed

control - speed measurement - Temperature control - Stepper motor control -PID control.

Module II

Real-time Systems - Introduction to real time systems- Interrupt driven systems-

Contextswitching-Scheduling-round robin-Preemptive-rate monotonic-Foreground and

backgroundsystems- Inter task communication- Buffering data-Mailboxes-Critical regions

Semaphores-Deadlock-Process stack management- Dynamic allocation-Response time

calculation-Interrupt latency.

Module III

PIC Processors - RISC concepts - PIC processors- Overview-16F877 - Architecture –Elementary

assembly language programming- Interrupts – Timers – Memory – I/O ports –SPI – I2C bus -

A/D converter - USART- PWM – Interfacing - Introduction to FPGA devices.

Module IV

DSP Architecture - Introduction to DSP architecture- Computational building blocks -

Addressgeneration unit- Program control and sequencing- Speed issues- Harvard architecture –

Parallelism – Pipelining - TMS 320F2407- Architecture- Addressing modes- I/Ofunctionality –

Interrupts – ADC – PWM - Event managers- Elementary assembly languageprogramming-

Typical applications-Buck boost converter- Stepper motor control- Softwareand hardware

development tools.

References

1. Mazidi & Mazidi, Embedded System Design using 8051 Microcontroller, Pearson

2. Ajay V DeshMukh, Microcontrollers -Theory and Applications, TMH

3. Phillip A Laplante, Real Time Systems Design and Analysis, PHI

4. Daniel W Lewis, Fundamentals of Embedded Software, Pearson

5. Sen M Kuo, Woon Seng Gan, Digital Signal Processors-Architecture, Implementation

and Applications, Pearson

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6. H A Toliyat, S Campbell, DSP Based Electro Mechanical Motion Control, CRC Press,

7. Avtar Singh, S Srinivasan, Digital Signal Processing, Thomson Brooks

8. Phil Lapsley, Bler, Sholam, E A Lee, DSP Processor Fundamentals, IEEE Press

9. Wayne Wolf, FPGA Based System Design, Pearson

10. Scott Hauck, The Roles of FPGAs in Reprogrammable Systems, Proceedings of the IEEE,

Vol. 86, No. 4, pp. 615-639, April, 1998.

MEEIC 106-3 Robotics and Automation

Module I

Robot definition - Robot classification - Robotic system components – Notations -

Positiondefinitions - Coordinate frames - Different orientation descriptions - Free vectors-

Translations- Rotations and relative motion - Homogeneous transformations.

Module II

Link coordinate frames- Denavit-Hartenberg convention - Joint and end-effector Cartesian

space-Forward kinematics transformations of position- Inverse kinematics of position-

Translational and rotational velocities -Velocity transformations- Manipulator jacobian -Forward

and inverse kinematics of velocity-Singularities of robot motion-Static forces-Transformations of

velocities and static forces -Joint and end effect or force/torque transformations

Module III

Manipulator Dynamics- Transformations of acceleration- Trajectory planning- Control-

Lagrangian formulation- Model properties - Newton-Euler equations of motion- Derivation for

two link planar robot arm as example- Joint space-based motion planning - Cartesian space-

based path planning-Independent joint control – Feedforward control - Inverse dynamics control.

Module IV

Robot Sensing and Vision Systems – Sensors - Force and torque sensors - Low level vision -

High level vision- Robot Programming languages-Introduction to Intelligent Robots-Robots

in manufacturing automation.

References

1. Fu, K.S., R.C. Gonzalez, C.S.G. Lee, Robotics: Control, Sensing, Vision & Intelligence,

McGraw-Hill, 1987.

2. Groover, Mikell P., Automation, Production Systems & Computer Integrated manufacturing,

Prentice hall India, 1996.

3. Gray J.O., D.G. Caldwell(Ed), Advanced Robotics & Intelligent machines, The Institution of

Electrical Engineers, UK, 1996.

4. Craig, John J., Introduction to Robotics: Mechanics & Control, 2nd Edition, Pearson

Education, 1989.

5. Groover Mikell P., M. Weiss, R.N. Nagel, N.G. Odrey, Industrial Robotics, McGrawHill,

1986.

6. Janakiraman, P.A., Robotics & Image Processing, Tata McGrawHill, 1995.

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7. Sciavicco, L., B. Siciliano, Modelling & Control of Robot Manipulators, 2nd Edition,

Springer Verlag, 2000.

8. Robin R. Murphy, “An introduction to AI Robotics”, MIT Press, 2008.

9. Oliver Brock, Jeff Trinkle and Fabio Ramos, Robotics-Science and Systems, Vol. IV, MIT

Press, 2009.

MEEIC 106-4 Energy Management And Audit

Module 1

Importance of energy management – overview of energy conservation act(2001) – energy

auditing – objectives – methodology – steps in energy management – analysis of past data –

mass and energy balances – types of energy audit – preliminary energy audit – detailed energy

audit – energy audit report writing – energy economics – payback period – potential energy and

cost savings from energy conservation measures – barriers for energy efficiency.

Module 2

Measurements and measuring instruments for energy audit – electrical measuring instruments,

Combustion analyzer, thermometers, flow meter, tachometer, Lux meter. Electrical Systems:

Tariff systems – billing elements – load curve analysis – load management – power factor

correction – electrical demand and load factor improvement – load scheduling/shifting – Demand

side management (DSM) - case study.

Module 3

Electric motors: Motors efficiency, idle running - motor selection – factors affecting motor

performance, efficiency at low load – high efficiency motors - reduce speed/variable drives –

different types of VFD, load reduction - high-starting torque, rewound motors, energy efficiency

in transformers - Case studies. Lighting: Lighting lux levels – efficient options – control of

lighting - lighting standards – light meter audit – case study – summary of different lighting

technologies – methods to reduce costs – day lighting – timers.

Module 4

Steam Systems: Boiler – efficiency testing – steam distribution and use thermal insulation -Basic

principles only. Energy conservation in pumps – fans (flow control) – compressed air systems –

Refrigeration and air conditioning systems. Cogeneration – concept – options (steam/gas

turbines/diesel engine based) – selection criteria – control strategy. Heat exchanger networking –

basic concept of pinch analysis.

References

1. W. C. Turner, Energy Management Handbook, Wiley, New York, 1982.

2. L. C. Witte, P. S. Schmidt, D. R. Brown , Industrial Energy Management and

Utilization, Hemisphere Publishers, Washington,1988.

3. Industrial Energy Conservation Manuals, MIT Press, Mass, 1982.

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4. I. G. C. Dryden, The Efficient Use of Energy, Butterworths, London, 1982.

5. Larry C. Whit et al, Industrial Energy Management & Utilization.

6. Energy Management Guide Books, Bureau of Energy Efficiency, India,

(http://www.beeindia.in/content.php?page=energy_managers_auditors/ema.php?id=4)

7. T.D. Eastop, D.R. Croft, Energy Efficiency for Engineers and Technologists,

Logman Scientific & Technical, ISBN-0-582-03184, 1990.

MEEIC 107 Instrumentation And Control Lab – I

· LABVIEW Fundamentals

Basic arithmetic operations

Boolean operations

Sum of n numbers using for loop

Factorial of a given number using for loop

Sorting of even numbers using while loop

Array maximum and minimum

Creation of SUB VI

· MATLAB Fundamentals

Eigen values and pole zero plot

closed loop transfer function using MATLAB/SIMULINK

Satellite control system using Matlab

Design of Lag, Lead, Lag-Lead Compensators

In addition to the above, the Department can offer a few newly developed experiments in

the Control and Instrumentation Laboratories.

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MEEIC 201 Nonlinear Control Systems

Module I

Describing functions of saturation, dead zone, on-off non-linearity, backlash, hysteresis-

Describing function analysis of non-linear systems-Limit cycles

Module II

Concept of phase portraits-Singular point characterization-Phase plane analysis of non-linear

systems-Stable and unstable equilibrium points

Module III

Lyapunov Stability-absolute stability-zero input and BIBO stability-construction of Lyapunov

function for non-linear systems-Lure‟s problem-Popov‟s criterion-Kalman Yakubovich lemma

Module IV

Non-linear control system design-concept of variable structure control and sliding mode control-

switching control laws-state feedback design-feedback linearization

References

1. Jean-Jacques E. Slotine & Weiping Li, 'AppliedNonlinear Control9, Prentice-Halh, NJ, 1991

2. Hassan K Khalil. 'Nonlinear Systems', Macmillan Publishing Company, NJ

3. M Vidyasagar. teNonlinear Systems Analysis', Prentice-Hall, India, 1991

4. Shankar Sastry, *Nonlinear System Analysis, Stability and Control9, Springer, 1999

5. Ashok D Belegundu, Timpathi R Chandrupatla, * Optimization concepts and Applications in

Engineering', Pearson Education, Delhi, 2002

6. John E Gibson, 'Nonlinear Automatic Control', Me Graw Hill, NevvYork

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MEEIC 202 Process Control And Automation

Module I

Introduction to process dynamics: Physical examples of first order process-first order systems in

series-dynamic behavior of first and second order systems - Control valves and transmission

lines, the dynamics and control of heat exchangers.

Level control, flow control, dynamics, Stability and control of chemical reactors, Control modes:

on-off, P, PL PD, PID, Controller tuning- Zeigler Nichols self tuning methods.

Module II

Advanced control techniques: Feed forward control, Cascade control. Ratio control. Adaptive

control, Override control, Control of nonlinear process. Control of process with delay.

Hierarchical control, Internal mode control, Model predictive control. Statistical process control.

Digital controllers Effects of sampling-implementation of PID controller-stability and tuning-

digital feed forward control.

Module III

Introduction to automation tools PLC, DCS, and SCADA. Programmable logic controllers

(PLC): hardware and software aspects, architecture PLC vs. PC, ladder diagram, ladder diagram

examples, timers/counters, shift register, PLC Communication and networking-selection and

installation of PLC

Module IV

Introduction to SCADA- Data acquisition systems. Evolution of SCADA, Communication

technologies. Monitoring and supervisory functions, SCADA applications in Utility Automation,

Industries SCADA System Components: Schemes- Remote Terminal Unit (RTU), Intelligent

Electronic Devices (IED),Programmable Logic Controller (PLC), Communication Network,

SCADA Server, SCADA/HMI Systems

References

1. George Stephanopoulos, "Chemicalprocess control", Prentice-Hall of India

2. Donald R Coughnour, 'Process System analysis and Control", McGraw-Hill, 1991

3. DE Seborg, T F Edger, 'Process dynamics and control', John Wiley, 1998

4. Enrique Mandado, Jorge Marcos, Serafin A Perrez, 'Programmable Logic Devices and

Logic Controllers', Prentice-Hall, 1996

5. Dobrivoje Popovic, Vijay P Bhatkar, Marcel Dekker, 'Distributed Computer Control for

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Industrial Automation", INC, 1990

6. B.G.Liptak, 'Handbook of Process Control9', 1996

7- Ronald A.Reis, 'Programmable logic Controllers Principles and Applications', Prentice-Hall

of India

8. Stuart A Boyer. SCADA-Supervisoiy Control and Data Acquisition', Instrument Society of

America Publications. USA. 1999.

9. Gordan Clarke, Deon RzynAzvs;Practical Modern SCADA Protocols: DNP3, 60870J and

Related Systems', Newnes Publications, Oxford, UK,2004

MEEIC 203 Advanced Digital Signal Processing

Module I

Review of DTS-Discrete time Signals-Sequences –Stability and Causality –Frequency domain

Representation of Discrete time Systems and Signals ––Z-Transform –Z- Transform Theorems

and Properties –Structures for discrete time system– Direct, cascade and parallel forms –Lattice

structure. Representation of Periodic Sequences-the Discrete Fourier Series –Properties of the

discrete Fourier series –Sampling, Z-transform –discrete Fourier transform –properties of

discrete Fourier Transform –Linear Convolution –Decimation –in- Time and Decimation in-

Frequency –FFT Algorithms- discrete Fourier Transform Computations

Module II

Digital Filter Design Techniques-Introduction – Design of IIR Digital Filters from Analog Filters

– Analog –Digital Transformation –Properties of FIR Digital Filters –Design of FIR Filters

Using Windows –A Comparison of IIR and FIR Digital Filters. Finite Register Length Effects-

Introduction - Effects of coefficient on Quantization –Quantization in Sampling -Analog Signals

- Finite Register Length effects in realizations of Digital Filters

Module III

Time frequency analysis, the need for time frequency analysis, Time frequency distribution,

Multirate digital signal processing: Basic multirate operation (up sampling, down sampling),

Efficient structures for decimation and interpolation, Decimation and interpolation with

polyphase filters, Noninteger sampling rate conversion

Module IV

Efficient multirate filtering Applications, Oversampled A/D and D/A converter .Introduction to

Digital Signal Processors-Commercial DSP devices – TMS C240 processor and ADSP 2181

processor –Architecture – Addressing modes – Program control – Instruction and programming –

Simple programs.

References

1. Emmanuel C. Ifeachor, Barrie W. Jervis, Digital Signal Processing: A Practical Approach,

Pearson Education India Series, New Delhi, 2nd Edition, 2004

2. Sanjit K. Mitra, Digital Signals Processing: A Computer Based Approach, Tata McGraw-

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Hill Publishing Company Limited, 2nd Edition, 2004.

3. Alan Oppenheim V., Ronald W. Schafer, „Digital Signal Processing‟, Prentice Hall of

India Private. Limited. New Delhi, 1989.

4. John G. Proakis and Manolakis. D.G, „Digital Signal Processing: Principles Algorithms

and Applications‟, Prentice Hall of India, New Delhi, 2004.

5. Oppenheim V. and Ronald W. Schafer, „Discrete Time Signal Processing‟, Prentice Hall of

India Private Limited., New Delhi, 2001.

6. Leon Cohen, „Time Frequency Analysis‟, Prentice Hall, 1995.

7. P. P. Vaidyanathan, „Multirate systems and Filter Banks‟, Prentice Hall, 1993

8. Avatar Singh and Srinivasan S., „Digital Signal Processing: Implementation using DSP

Microprocessors with Examples from TMS 320C54XX‟, Thompson Brooks/Cole, 2004.

MEEIC 204 Control of Industrial Drives

Module I

Components of electrical Drives – electric machines, power converter, controllers - dynamics of

electric drive - torque equation - equivalent values of drive parameters- components of load

torques types of load - four quadrant operation of a motor –– steady state stability - load

equalization – classes of motor duty- determination of motor rating

Module II

DC motor drives – dc motors & their performance (shunt, series, compound) – braking –

regenerative, dynamic braking, plugging – Transient analysis of separately excited motor –

converter control of dc motors – analysis of separately excited & series motor with 1-phase and

3-phase converters – dual converter – analysis of chopper controlled dc drives –closed loop

control - transfer function of self, separately excited DC motors – linear transfer function model

of power converters

Module III

Induction motor drives – stator voltage control of induction motor – torque-slip characteristics –

operation with different types of loads – operation with unbalanced source voltages and single

phasing – analysis of induction motor fed from non-sinusoidal voltage supply – stator frequency

control – variable frequency operation – V/F control, controlled current and controlled slip

operation – effect of harmonics and control of harmonics

Module IV

PWM inverter drives – multiquadrant drives – rotor resistance control – slip torque characteristic

– torque equations, constant torque operation – slip power recovery scheme – torque equation –

torque slip characteristics – power factor – methods of improving power factor – limited sub

synchronous speed operation – super synchronous speed operation.

Synchronous motor drives –adjustable frequency operation of synchronous motors – principles

of synchronous motor control – voltage source inverter drive with open loop control – self

controlled synchronous motor with electronic commutation – self controlled synchronous motor

drive using load commutated thyristor inverter.

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References

1. R. Krishnan, Electical Motor Drives, PHI

2 GK Dubey, Fundamentals of Electrical Drives, Narosa

3. GK Dubey, Power Semi-conductor Controlled Drives, Prentice Hall

4. Bimal K Bose, Modern Power Electronics & AC Drives, PHI

5. S A Nasar, Boldea, Electrical Drives, CRC press

6. M A Elsharkawi, Fundamentals of Electrical Drives, Thomson Learning

7. W Leohnard, Control of Electric Drives, Springer

8. Murphy and Turnbill, Power Electronic Control of AC motors, Pergamon Press

9. Vedam Subarhmanian, Electric Drives, TMH

MEEIC 205-1 Optimal Control Theory

Module I

Optimality problems in control theory-state variable representation-selecting a performance

measure-classification of problem constraints-problem formulation-examples

Module II

Dynamic programming-the optimal control law-principle of optimality-Application to decision

making-routing problem-interpolation-Discrete linear regulator problems-Hamilton-Jacobi-

Bellman equation-Continuous linear regulator problems

Module III

Calculus of variations-fundamental concepts-functionals-variation of functional-extremals-

fundamental theorem of calculus of variations-Euler equation-piecewise smooth extremals-

necessary conditions for optimal control

Module IV

Pontryagin‟s minimum principle-Minimum time problems-minimum fuel problem-minimum

control effort problem-singular intervals

References

1. D.E. Kirk, „Optimal Control Theory - An Introduction‟, Dover Publications, New York,

2004.

2. Alok Sinha, Linear Systems - Optimal and Robust Controls, CRC Press, 2007.

3. Daniel Liberzone, Calculus of variations and Optimal control theory, Princiton University

press, 2012

4. Frank L. Lewis, Applied optimal control & Estimation- Digital design and implementation,

Prentice Hall and Digital Signal Processing Series, Texas Instruments, 1992

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MEEIC 205-2 Optical Instrumentation

Module I

Review of P-N jn-characteristics – semiconductor-hetero junction-LEDs (-spontaneous emission-

LED structure-surface emitting-Edge emitting-Injection efficiency- recombination efficiency-

LED characteristics-spectral response-modulation-Band width.

Module II

Introduction to Electromagnetic field theory, Ray and wave optics, Polarization and Isotropic and

an-isotropic media. Opto electronics devices: Sources-LED, Laser, Laser diode, Broadband

calibration sources, Detectors-Photodiode-P-N, P-I-N, Photo multiplier tubes and ADP,. Optical

fibre as cylindrical wave guide, Optical fibre Characteristics- Application and dispersion,

fibreoptic polarizer.

Module III

Broadband thermal detector: Modulators-Intensity, Polarization, Phase, Read out schemes for

modulation-Polarimeter, interferometer. Transportation media: Wave-guide theory-Slab wave

guide, scalar wave equation .Opto electronic sensors and system as a modulator, bulk modulator,

fibre-optic modulator.

Module IV

Sensing Principles-Electro-optic and magneto-optic (Polarimetric and Interferrometric),

magnetostriction based sensors, Distributed Fibre- Optic sensors-OTDR and OFDR principles in

temperature measurement, Fibre –optic Gyro. Holographic measurement and its biomedical

applications. Optoelectronic integrated circuits and integrated optic sensor.

References

1.G. Lifante, „Integrated Photonics: Fundamentals‟, John Wiley & Sons, 2003

2.Morris Tischler: „Optoelectronics: Fiber Optics and Lasers‟, A Lab Text Manual, 2nd

Edition, McGraw-Hill, 1992.

3. Frederic C. Allard: „Fiber Optics Handbook for Engineers & Scientists (Optical &

Electrooptical Engineering Series)‟, McGraw-Hill, 1990.

4. John M. Senior, „Optical Fiber Communications, Principles & Practice‟, 2nd edition,

Prentice Hall of India, 1996.

5. Subir Kumar Sarkar, „Optical Fibers & Fiber Optic Communication Systems‟, S. Chand

& Co., 2001

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MEEIC 205-3 Robust Control Systems

Module I

Introduction- Definition of robust control-Classification of robust control-Elements of robust

control theory-Modeling-Design objectives and specifications-Additive and multiplicative

perturbations-Plant-controller configuration-Shaping the loop gain.

Module II

Modeling of Parametric Uncertain Systems- Modeling systems with parameter uncertainty-

General concepts-Generalization of several control concepts to parametric uncertain systems-

Stability-Controllability and observability-Robust stability analysis- Pole spread and

gridding-Principle of argument and Rouche‟s theorem-Boundary crossing theorem-Stability-

Gamma stability boundaries-Gamma stability radius-Schur stability test-Hurwitz stability

test.

Module III

Parameterization of stabilizing controllers- Well-posedness internal stability parameterization

approach-Coprime factorization of plant- Coprime factorization of controller-State space

realization-Strong stabilization sensitivity minimization and robust stabilization- Sensitivity

minimization-Problem formulation-Model matching problem-Trade-offs for multivariable

plants-Design limitations due to right half plane zeros-Plant uncertainty and robustnessrobust

stability-Robustness under perturbations-Small gain theorem- Stability margins- 1-2

stability, 1-infinity and 1-1 stability margins.

Module IV

Robust stabilizing controllers-Stabilizing P controllers-Stabilizing PI controllers- Stabilizing PID

controllers H2 and H optimization -LQG methodology-Separation principle-Algebraic Riccati

Equation-Solution of LQG problem-Robustness properties of the LQG solution- H

optimization techniques-State space formulation H control-H filter-Generalized H regulator.

Basic concepts of H∞ and μ – Synthesis controllers.

References

1. Richard.C.Dorf and R.T Bishop, Modern Control System, P.H.I.

2. S P Bhattacharya, L H Keel, H Chapellat, Robust Control: The Parametric Approach,

Prentice-Hall, 1995

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3. P C Chandrasekharan, Robust Control of Linear Dynamical Systems, Academic Press, 1996.

4. Michael Green, David J N Limebeer, Linear Robust Control , Prentice-Hall, 1995

5. Kemin Zhou, Essentials of Robust Control, Prentice-Hall, 1998

MEEIC 205-4 Switched Mode Power Converters

Module I

Introduction- DC-DC converter system- Control of DC-DC converters Buck, Boost, Buck-Boost

topologies - basic operation – Waveforms - modes of operation . Cuk DC-DC converter- Push-

pull and Forward converter - Fly back Converter - Half and Full Bridge Converters - basic

operation – waveforms. Transformer design

Module II

Voltage Mode Control of SMPS - Loop gain and Stability Considerations - Shaping the Error

Amplifier gain versus frequency characteristics - Error amplifier Transfer function – Tran

conductance Error amplifiers. Current Mode Control of SMPS – Current Mode Control

Advantages - Current Mode versus Voltage Mode Control of SMPS – Current Mode

Deficiencies - Slope Compensation.

Module III

Modelling of SMPS - Basic AC modelling Approach – Modelling of non ideal fly back converter

- State Space Averaging – basic state space averaged model – State space averaging of non ideal

buck boost converter - Circuit averaging and averaged switch modelling – Modeling of pulse

width modulator

Module IV

Introduction to Resonant Converters – Classification of Resonant Converters – Basic Resonant

circuit concepts – load resonant converters – resonant switch converters – Zero voltage

switching, clamped voltage topologies – resonant DC Link inverters with zero voltage switching

– High frequency link integral half cycle converter

References

1 Ned Mohan, Power Electronics:Converters,Applications And Design , John Wiley & Sons

2 Abraham I Pressman , Switching Power Supply Design , McGraw-Hill Publishing Company

3 R. W. Erickson , Fundamental of Power Electronics , Chapman & Hall Publishers

4 William Shepherd, Li Zhang, Power Converter Circuits, CRC Taylor Francis

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MEEIC 206-1 Bio Medical Instrumentation

Module I

Review of human physiology - Cardiovascular System – Respiratory System and Nervous

System- Electro physiology- Bioelectric signals–origin –Resting and Action potentials-

Propagation of Action Potential-Biomedical Recorders-ECG –EEG and EMG- Measurement

of Heart Rate-Pulse Rate- Blood Pressure monitoring systems- Biomedical telemetry- Single

channel systems- ECG telemetry system- Multichannel wireless telemetry system-Telemetry

of ECG & Respiration- Patient Safety-Electric shock hazards-Effects of Electric current on

the human body-Electrophysiology of ventricular Fibrillation-Electrical Safety analyzer.

Module II

General Considerations for signal conditioners- Biomedical signal analysis techniques-FFT –

Signal Processing techniques-Effects of artifacts on ECG recordings-Computerized analysis

of EEG—Frequency/Amplitude analysis-Display format-Compressed Spectral Array(CSA)-

Frequency Response and Damping Adjustment of systolic and diastolic blood pressure-

Cardiac Arrhythmias – Arrhythmia Monitor.

Module III

ECG QRS Detection and analysis – Power spectrum of ECG, QRS detection algorithm,

STsegment analyzer-ST Arrhythmia Algorithm-Data Compression and Processing of the ECG

signal by AZTEC (Amplitude-Zone-Time-Epoch-Coding).

Modern Imaging Systems- X– rays – Basis of diagnostic radiology- nature -production and

visualization of X-rays- X- ray Machine

Module IV

Computerized Tomography (CT) –basic principle system components- scanning ,processing,

viewing and storage unit- Magnetic Resonance Imaging (MRI/NMR) System-principle- Imaging

sequences-basic NMR components- Advantages and Limitations of MRI - Ultrasonic imaging –

Ultrasonic waves – Basic pulse echo-A Scanner

Concepts of Bio informatics- Genetic material-nucleotides-orientation-Base pairing-Central

dogma-Gene structure and information content

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References

1. Khandpur R. S, “Handbook of Biomedical Instrumentation”, 2/e.TMH.

2. Leslie Cromwell, Fred J. Weibell and Erich A. Pfeiffer, Biomedical Instrumentation and

Measurements, Prentice Hall of India, New Delhi.

3. Dan .E. Krane, Michael L. Raymer ,Fundamental Concepts of Bioinformatics

4. Joseph J Carr & John M Brown, Introduction to Biomedical Equipment Technology,

PearsonEducation.

5. T. K. Attuwood & D J Pary Smith, Introduction to Bioinformatics, Pearson Education,

2006.

6. Claverie & Notredame, Bioinformatics - A Beginners Guide, Wiley-Dreamtech India.

MEEIC 206-2 Adaptive Control System

Module 1

Introduction-Adaptive ComroI-elYects of process variation-Adaptive schemes-Adaptive Control

problem-Applications Real-Time Parameter Estimation -Introduction-Least Squares and

Regression Models-Estimating-Parameters in Dynamical Systems-Experimental Conditions-

Simulation of Recursive Estimation Model-Reference Adaptive Systems -Introduction-The MIT

Rule-Determination of the Adaptation Gains

Module 1I

Lyapunov Theory-Design of MRAS Using Lyapunov Theory-Bounded-Input-Bounded-Output

Stability-Applications to Adaptive control-Output Feedback Self Tuning Regulators -

Introduction-Pole Placement Design-Indirect Self-tuning Regulators-Continuous Time Self-

tuners- Direct Self-tuning Regulators-Disturbances with Known Characteristics-Relations

between MRAS and STR Adaptive Predictive Control

Module III

Stochastic and Predictive Self-Tuning Regulators-Introduction-Design of Minimum-Variance

and Moving-Average controllers-Stochastic Self-Tuning Regulators-Unification of Direct Self-

tuning Regulators-Linear Quadratic STR

Module IV

Robust Adaptive Laws--Introduction-Plant Uncertainties and Robust Control. Instability-

Phenomena in Adaptive Systems-Modifications for Robustness-Simple Examples-Robust

Adaptive Laws-Summary of Robust Adaptive Laws Gain Scheduling -Introduction-The

Principle-Design of Gain-Scheduling controllers-Nonlinear Transformations applications of Gain

Scheduling

References

1. Karl Jhon Astrom & Bjom Wittenmark, 'Adaptive Control* ,Addison Wesley, 2003

2. Shankar Sastry, 'Adaptive Control', PHI( Eastern Economy Edition), 1989

3. Karl Jhon Astrom, 'Adaptive Control', Pearson Education, 2001

4. Petros A Ioannou, Jing, 'Robust Adaptive Control', Prentice-Hall, 1995

5. Eykhoff P, 'System Identification: Parameter and'State Estimation9, 1974

6. Ljung, 'System Identification Theory for the User*, Prentice-Hall, 1987

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MEEIC 206-3 Advanced Control System Design

Module I

Describing system and evaluating its performance: problem formulation - state variable

representation of the system-performance measure-the carrier landing of a jet aircraft-dynamic

programming

Module II

Linear quadratic optimal control: formulation of the optimal control problem- quadratic integrals

and matrix differential equations-optimum gain matrix –steady state solution-disturbances and

reference input: exogenous variables general performance integral –weighting of performance at

terminal time, concepts of MIMO system.

Module III

Representations of MIMO systems- Equivalent transformations- Canonical forms- Solution of

state equations- System response- Controllability and pole allocation- Observability and state

estimator- System characterization by transfer matrix- Noninteractive and model matching

control design.

Module IV

Linear quadratic Gaussian problem : Kalman identity-selection of the optimal LQ performance

index-LQR with loop shaping techniques-linear quadratic Gaussian problem-kalman state

estimator -property of the LQG based controller-reduced order LQG control law design

-concept of robust control

References

1 Bernad Friedland, Control System Design, McGraw-Hill, 2012.

2 .Ching-Fang-Lin , Advanced Control System Design, Prentice Hall, 1994.

3 Krick D. E., Optimal Control Theory, Dover Publications, 2004.

4 Apte Y.S., Linear Multivariable Control Theory, Tata McGraw Hill Publishing Co. Ltd.,

1994.

5 Chen C.T., Linear System Theory and Design, Holt Reinhart and Winston Inc., 1984

6 Wolovich W.A., Linear Multivariable Systems, Springer- Verlag , New york-

Heidelberg- Berlin, 1974.

7 Thomas Kailath, Linear Systems, Prentice Hall Inc., Englewood Cliffs, N.J. , 1980

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MEEIC 206-4 Advanced Microprocessors and Microcontrollers

Module I

Internal architecture of 8086 CPU, instruction set and programming, assembly language

programming on IBM PC, ROM bios and DOS utilities. 8086 basic system concepts, signals,

instruction queue, MIN mode and MAX mode, bus cycle, memory interface, read and write bus

cycles, timing parameters.

Module II

Input/output interface of 8086, I/O data transfer, I/O bus cycle. Interrupt interface of 8086, types

of interrupts, interrupt processing. DMA transfer, interfacing and refreshing DRAM, 8086 based

multiprocessing system, 8087 math coprocessor. Typical 8086 based system configuration,

keyboard interface. Introduction to higher bit processors, 80286, 80386, 80486, Pentium.

Module III

History of microcomputers. Over view of 8051, 8096, 6811, 6812 and 8051 architecture.

Hardware system, Mode of operation, Hardware pin assignments, Programming model.

Module IV

A typical 16 bit Microcontroller with RISC architecture and Integrated A-D converter e.g. PIC

18Cxxx family: Advantages of Harvard Architecture, instruction pipeline, analog input, PWM

output, serial I/O, timers, in-circuit and self programmability. Instruction set.

References

1. Ray A. K., Bhurchandi K. M., Advanced Microprocessor and Peripherals, Architecture,

Programming and Interfacing, TMH, 2006

2. Hall D.V., Microprocessor & Interfacing – Programming & Hardware – 8086, 80286,

80386, 80486‟, TMH, 1992

3. Rajasree Y., Advanced Microprocessor, New Age International Publishers, 2008

4. Brey B. B. „The Intel Microprocessor 8086/8088, Pentium , Pentium Processor, PHI, 2008

5. Ayala K. J., The 8086 Microprocessor, Thomson Delmar Learning, 2004.

6. Kenneth J. Ayala, The 8051 Micro-controller, West Publishing, 2004

7. Muhammad Ali Mazidi, Janice Gillispie Mazidi, „The 8051 Microcontroller and Embedded

Systems‟, Pearson Education, 2004

8. Deshmukh, Microcontrollers : Theory and Application, TMH, 2005

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MEEIC 207 Instrumentation And Control Lab – II

Experiments

Data acquisition using LABVIEW.

Measurement of temperature and control

Measurement of level and control

Measurement of pressure and control

MATLAB

Dynamic system models

Sate space models for continuous and discrete system.

Design of State Feed Back Controller

Design of Observer

In addition to the above, the Department can offer a few newly developed experiments in the

Control and Instrumentation Laboratories.

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